Extract actionable insights from completed coding sessions. Use when a session completes to capture learnings for future sessions.
日本語の概要は準備中です。原文の説明を表示しています。
調査、論文、教育、資格学習(4,129 件)
概要と使いどころ
Extract actionable insights from completed coding sessions. Use when a session completes to capture learnings for future sessions.
日本語の概要は準備中です。原文の説明を表示しています。
Research-backed hook refresh workflow for updating existing hooks with TDD checkpoints and settings.json registration validation.
日本語の概要は準備中です。原文の説明を表示しています。
Multi-step autonomous research methodology for deep investigation tasks with structured synthesis
日本語の概要は準備中です。原文の説明を表示しています。
Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
日本語の概要は準備中です。原文の説明を表示しています。
Guided requirements gathering through structured questions to create comprehensive specifications. Produces a complete requirements document via non-blocking conversational interaction.
日本語の概要は準備中です。原文の説明を表示しています。
Scope-specific code gap analysis — extracts referenced codes from project docs, researches what should apply, surfaces the delta. Triggers: 'code research', 'what codes apply', 'code check', 'ADA requirements', 'egress'.
日本語の概要は準備中です。原文の説明を表示しています。
Construction document review with PE judgment — RFI research, submittal analysis, coordination checking, scope gap detection. Use when reviewing drawings, specs, submittals, or RFIs. Triggers: 'review', 'coordination', 'what's missing'.
日本語の概要は準備中です。原文の説明を表示しています。
Search and order products online. Compares prices across Polish marketplaces (Allegro, Ceneo, Google Shopping), presents options in a comparison table, and assists with checkout. Handles the full flow: priority selection, research, comparison, cart, and checkout handoff. Triggers on: "order", "buy", "find product", "compare prices", "cheapest", "zamow", "kup", "znajdz produkt", "porownaj ceny", "najtaniej".
日本語の概要は準備中です。原文の説明を表示しています。
Research what's genuinely new about a topic in a recent time window. Use when the user asks what's new, recent, or trending on a subject and wants a source-grounded brief rather than a quick lookup.
日本語の概要は準備中です。原文の説明を表示しています。
Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules. Maintains a worklog and snapshots each iteration so revert is real, not symbolic. TRIGGER when the orchestrator delegates Step 5 or when the user asks to "refine the draft", "iterate on the paper", or "run peer review on this paper".
日本語の概要は準備中です。原文の説明を表示しています。
Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimental_log.md). TRIGGER when the user says "aggregate my agent logs for paper writing", "extract experiments from my coding agent history", "prepare PaperOrchestra inputs from my cache", "turn my agent logs into a paper", mentions a folder or directory they want to use as the basis for a paper, or wants to run PaperOrchestra but only has scattered agent experiment histories rather than structured inputs. Run this BEFORE paper-orchestra. Also called automatically by paper-orchestra when workspace/inputs/idea.md or workspace/inputs/experimental_log.md are missing.
日本語の概要は準備中です。原文の説明を表示しています。
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), build a BibTeX file, and draft Introduction + Related Work using ≥90% of the verified pool. Runs in parallel with the plotting-agent. TRIGGER when the orchestrator delegates Step 3 or when the user asks to "find citations for my paper", "draft the related work", or "build the bibliography".
日本語の概要は準備中です。原文の説明を表示しています。
Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures) into a submission-ready LaTeX manuscript and compiled PDF. TRIGGER when the user asks to "write a paper from my experiments", "turn this idea and these results into a paper", "generate a conference submission", "run paper-orchestra on X", or otherwise wants the end-to-end paper-writing pipeline. Coordinates the outline-agent, plotting-agent, literature-review-agent, section-writing-agent, and content-refinement-agent skills.
日本語の概要は準備中です。原文の説明を表示しています。
Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality (side-by-side), and SxS Literature Review Quality (side-by-side). TRIGGER when the user asks to "score this paper draft", "evaluate against the benchmark", "compare two papers", or "run the autoraters".
日本語の概要は準備中です。原文の説明を表示しています。
Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimental_log.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER when the orchestrator delegates Step 2 or when the user asks to "generate the figures for my paper" or "render the plots from this experiment log".
日本語の概要は準備中です。原文の説明を表示しています。
Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimental_log.md, template.tex, conference_guidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator delegates Step 1 or when the user asks to "outline a paper from raw materials" or "generate the paper structure".
日本語の概要は準備中です。原文の説明を表示しています。
scholar 是 paper-search 的别名 / 软链。统一从这里入口可在内部代码中用更短的 命名空间。本子 skill 的实际实现指向 tools/paper_search/。
日本語の概要は準備中です。原文の説明を表示しています。
EZMM writer-stage adapter for the vendored PaperOrchestra skill pack. Use by default during pipeline/04-paper-writing for outline-first paper drafting, literature-review planning, section writing, and refinement discipline. The adapter maps EZMM runtime artifacts to PaperOrchestra-style inputs, runs PaperOrchestra-first writing automatically, and returns EZMM-compatible paper.md.
日本語の概要は準備中です。原文の説明を表示しています。
论文检索子 skill。通过 OpenAlex API(默认)、arXiv、Semantic Scholar、CrossRef 四个免费源聚合搜索学术文献,返回结构化论文元信息(含 DOI / 摘要 / 引用数)。 默认零配置;可选 EZMM_OPENALEX_EMAIL / EZMM_S2_API_KEY 提升配额。
日本語の概要は準備中です。原文の説明を表示しています。
Reverse-engineer raw materials (Sparse idea, Dense idea, experimental log) from an existing AI research paper to build a benchmark case for evaluating paper-writing pipelines. Replicates the PaperWritingBench dataset construction procedure from arXiv:2604.05018 §3 / App. C. TRIGGER when the user asks to "build a benchmark case from this paper", "reverse-engineer raw materials", or "evaluate my pipeline against PaperWritingBench".
日本語の概要は準備中です。原文の説明を表示しています。
Initialise a project for knowledge base use. Appends the [Knowledge Base] section to the project's CLAUDE.md, creates the library/ directory structure, optionally seeds with three example library files from the Agentic SDLC research, and reports next steps. Run once after installing sdlc-knowledge-base.
日本語の概要は準備中です。原文の説明を表示しています。
Spot-check citations in library files for obvious hallucinations. Resolves DOIs against the DOI registry, validates arXiv IDs, checks the format of journal references. Soft-fails on transient lookup failures rather than blocking. Recommended after kb-ingest and as part of periodic library hygiene.
日本語の概要は準備中です。原文の説明を表示しています。
Query the project knowledge base. Wraps the research-librarian agent. The librarian reads the shelf-index, identifies the 2-4 most relevant library files for the question, deep-reads only those, and returns structured evidence with citations. Stateless — reads the index fresh on every query.
日本語の概要は準備中です。原文の説明を表示しています。
Deep research with cross-verification and source tiering. Use when investigating technologies, comparing tools, fact-checking claims, evaluating architectures, or any task requiring verified information. Triggers on "조사해줘", "리서치", "research", "investigate", "fact-check", "비교 분석", "검증해줘".
日本語の概要は準備中です。原文の説明を表示しています。